e but more standardization is needed for clinical use.Evaluating how wildlife conservation laws are implemented is critical for safeguarding biodiversity. Two agencies, the U.S. Fish and Wildlife Service and National Marine Fisheries Service (FWS and NMFS; Services collectively), are responsible for implementing the U.S. Endangered Species Act (ESA), which requires federal protection for threatened and endangered species. FWS and NMFS' comparable role for terrestrial and marine taxa, respectively, provides the opportunity to examine how implementation of the same law varies between agencies. We analyzed how the Services implement a core component of the ESA, section 7 consultations, by objectively assessing the contents of &gt;120 consultations on sea turtle species against the requirements in the Services' consultation handbook, supplemented with in-person observations from Service biologists. Our results showed that NMFS consultations were 1.40 times as likely to have higher completeness scores than FWS consultations given the standard in the handbook. Consultations tiered from an FWS programmatic consultation inherited higher quality scores of generally more thorough programmatic consultations, indicating that programmatic consultations could increase the quality of consultations while improving efficiency. Both agencies commonly neglected to account for the effects of previous consultations and the potential for compounded effects on species. From these results, we recommend actions that can improve quality of consultation, including the use of a single database to track and integrate previously authorized harm in new analyses and the careful but more widespread use of programmatic consultations. Our study reveals several critical shortfalls in the current process of conducting ESA section 7 consultations that the Services could address to better safeguard North America's most imperiled species.INTRODUCTION Cancer is a leading cause of death in both more and less economically developed countries; the burden is expected to grow in less developed countries, such as Ethiopia. Lack of adequate information is one of the major problems preventing the design of cancer control strategies in Ethiopia. OBJECTIVE To characterize gynecological and breast cancers among clients attending Gynecologic clinic of Saint Paul Hospital Millennium Medical college over 5 year period. METHODS We retrospectively reviewed characteristics of 2,002 female cancer patients who visited the Oncology unit of Saint Paul's Hospital Millennium Medical College from 2014-2018. We estimated the proportion, pattern and trend of common types of gynecologic cancers as well as breast cancer. The ten years incidence projection was also computed. RESULT From the 2,002 malignancies, cervical (46.7%) was the most frequent cancer followed by breast (29.3%) and ovarian cancers (13%). The majority of breast cancers were observed among younger patients whereas cervical cancer was predominantly observed among older women. An overall increment in number of breast and gynecologic cancer was observed over the five years period. CONCLUSION In this descriptive study, we found that breast and gynecologic cancers are important public health problems among women in Addis Ababa, and that the number of patients seeking care for these cancers is increasing. Additional studies are needed to identify risk factors for these cancers, particularly among younger women, to characterize the trends over time and to project the scope of the cancer problem expected in the future to inform cancer control programs. Increasing public awareness on the possible risk factors and screening is mandatory in addition to resource allocation for further studies and targeted intervention.OBJECTIVE The objective of this study is to evaluate if intensified pre-scan patient preparation (IPPP) that comprises custom-made educational material on dynamic phase imaging and supervised pre-imaging breath-hold training in addition to standard informative conversation with verbal explanation of breath-hold commands (standard pre-scan patient preparation-SPPP) might reduce the incidence of gadoxetate disodium (Gd-EOB-DTPA)-related transient severe respiratory motion (TSM) and severity of respiratory motion (RM) during dynamic phase liver MRI. MATERIAL AND METHODS In this bi-institutional study 100 and 110 patients who received Gd-EOB-DTPA for dynamic phase liver MRI were allocated to either IPPP or SPPP at site A and B. The control group comprised 202 patients who received gadoterate meglumine (Gd-DOTA) of which each 101 patients were allocated to IPPP or SPPP at site B. RM artefacts were scored retrospectively in dynamic phase images (1 none- 5 extensive) by five and two blinded readers at site A and B, with TSM or exclusively the arterial phase as previously proposed.BACKGROUND Understanding how the conservation of nature can lead to improvement in human conditions is a research area with significant growth and attention. https://www.selleckchem.com/products/lf3.html Progress towards effective conservation requires understanding mechanisms for achieving impact within complex social-ecological systems. Causal models are useful tools for defining plausible pathways from conservation actions to impacts on nature and people. Evaluating the potential of different strategies for delivering co-benefits for nature and people will require the use and testing of clear causal models that explicitly define the logic and assumptions behind cause and effect relationships. OBJECTIVES AND METHODS In this study, we outline criteria for credible causal models and systematically evaluated their use in a broad base of literature (~1,000 peer-reviewed and grey literature articles from a published systematic evidence map) on links between nature-based conservation actions and human well-being impacts. RESULTS Out of 1,027 publications identified, only ~20% of articles used any type of causal models to guide their work, and only 14 total articles fulfilled all criteria for credibility. Articles rarely tested the validity of models with empirical data. IMPLICATIONS Not using causal models risks poorly defined strategies, misunderstanding of potential mechanisms for affecting change, inefficient use of resources, and focusing on implausible efforts for achieving sustainability.